Abstract
The importance of open government data is often associated with increased public trust, civic engagement, and accountable administrations. While there is a myriad of benefits, the existing literature suggests that many open government datasets lack accessibility and usability for diverse users. This study seeks to explore what contextual information users require when they access these datasets. Using mixed methods, we aim to discover the challenges of accessing data, and the necessary contextual information needed by the users to overcome these challenges. As the outcome of this study, we propose a framework called "Data Guides", which is composed of the identified important contextual information. In future work, we will test the effectiveness of the Data Guide in aiding users' accessing and understanding open government data.
Original language | English |
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Title of host publication | CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval |
Pages | 313-317 |
Number of pages | 5 |
ISBN (Electronic) | 9781450360258 |
DOIs | |
State | Published - Mar 8 2019 |
Event | 4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019 - Glasgow, United Kingdom Duration: Mar 10 2019 → Mar 14 2019 |
Publication series
Name | CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval |
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Conference
Conference | 4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019 |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 3/10/19 → 3/14/19 |
Bibliographical note
Funding Information:This work was partially supported from the Young Scholar Fellowship Program by Ministry of Science and Technology (MOST) in Taiwan, under Grant MOST107-2636-H-002 -002.
Publisher Copyright:
© 2019 Association for Computing Machinery.
Keywords
- Accessibility
- Contextual information
- Data Guides
- Open government data (OGD)
- Structured data
- Understandability
ASJC Scopus subject areas
- Human-Computer Interaction
- Information Systems